JP5771060B2 - Sample analyzer and data processing apparatus - Google Patents

Description

  The present invention relates to a sample analyzer and a quality control device that analyze a sample such as blood.

In facilities using sample analyzers, accuracy control is performed to confirm that correct measurement results are obtained.
The quality control is performed by measuring a quality control sample periodically (for example, every day) and confirming that the measurement result is within a predetermined range. The accuracy management is described in Patent Document 1, for example.

  In general, in a sample analyzer that can perform quality control, a quality control value, which is a measurement result obtained by measuring a quality control sample, can be plotted in time series for a predetermined period and displayed in a graph (see Patent Document 1). By displaying time-series quality control data, which is time-series data consisting of a set of quality control values for a predetermined period, it is possible to check the transition of the quality control value in the sample analyzer.

  Regarding the display of the accuracy management value, Patent Document 1 discloses a control chart in which the horizontal axis represents the date and the vertical axis represents the SD value. In this control chart, a plurality of line graphs showing the measurement results of a plurality of quality control samples having different concentration levels are displayed side by side. In Patent Document 1, for a plurality of different quality control samples, quality control values (SD values) whose measurement dates are the same month and day are plotted at the same position on the horizontal axis.

  In this way, by displaying a plurality of quality control data consisting of quality control values for a predetermined period at the same time, the administrator of the sample analyzer can compare the plurality of quality management data.

JP 2009-180616 A

The measurement of the quality control sample is not necessarily performed once a day, but may be performed a plurality of times a day.
Moreover, the number of measurements on the same day may be different for each of a plurality of quality control data.
For example, when the sample analyzer has a plurality of measurement units, in a certain time zone, the quality control sample is measured by the plurality of measurement units, and the quality control values of the plurality of measurement units are obtained. However, since the specific measurement unit is shut down and not used in another time zone, the quality control sample may be measured only by another measurement unit in operation.

  As a result, the quality control data for a certain measurement unit and the quality control data for other measurement units differ in the number of measurements of the quality control sample during the same day.

  In this way, when multiple quality control data with different number of measurements on each day are plotted and displayed in time series, it is difficult to display multiple quality control data for easy comparison without special measures. Become.

For example, when priority is given to plotting each quality control value included in the quality control data at a fixed plot interval, and the concept of “day” is eliminated from the plot interval, multiple graphs corresponding to multiple quality control data The position of the date on the horizontal axis will shift. This makes it difficult to compare a plurality of quality control data.
Moreover, if priority is given to eliminating the position shift of the month and day on the horizontal axis, a plurality of plots having different values will be densely packed on the day when a plurality of measurements are performed. This again makes it difficult to compare a plurality of quality control data.

  Therefore, an object of the present invention is to display a plurality of quality control data having different measurement frequencies of quality control samples so as to be easily compared.

(1) The present invention provides a plurality of quality control data that are time series data of quality control values obtained by measuring a quality control sample on a plurality of days by a measurement unit that analyzes a component in a sample. A storage unit for storing, a display unit for displaying the quality control data stored in the storage unit, and a quality control graph in which the quality control values included in the quality control data are plotted are displayed on the display unit. A processing unit, and the processing unit is configured to manage the quality of the plurality of display target quality control data selected as the display target in the display unit among the plurality of quality control data stored in the storage unit. the graph at the same time is displayed on the display unit, the plurality of the quality control charts, respectively, in chronological range of the plurality of daily, one or more fine measured on the day corresponding to the time-series range All SANYO the management values are plotted in time series, wherein the processing unit, the time series range of the magnitude corresponding to the maximum number of the plurality of display target precision quality control value of the plurality of daily in the management data Is a sample analyzer that performs a process of assigning as a time series range for each of the plurality of days in the plurality of quality control graphs .

(2) A plurality of the measurement units are provided, and the processing unit includes a plurality of quality control data measured by each of the plurality of measurement units among the plurality of quality control data stored in the storage unit. It is preferable to display a plurality of quality control graphs on the display unit simultaneously.

(3) The time series range is a range required for plotting the accuracy management values at a predetermined plot interval with respect to the accuracy management graph having the maximum number of the accuracy management values on the day corresponding to the time series range. Is preferably ensured.

(4) for other quality control graph other than the quality control graph the number of quality control value is maximum in the day, within the time series range, the accuracy the number of quality control value in the date is maximum It is preferable that the accuracy control value is plotted at the same plot position as any of the plot positions of the management graph.

(5) Within the time series range, it is preferable that the accuracy management values of the other accuracy management graphs are plotted close to the old time side in the graph time axis direction.

(6) It is preferable that the processing unit displays a plurality of the quality control graphs in a state of being superimposed on the same screen of the display unit.

(7) Each of the plurality of quality control data includes quality control values for a plurality of measurement items, and the processing unit displays the plurality of quality control graphs in a superimposed state for each measurement item. preferable.

(8) The processing unit may perform another display target accuracy management displayed simultaneously with the one display target accuracy management data in accordance with a predetermined extraction condition from the plurality of the accuracy management data stored in the storage unit. It is preferable to extract data candidates, display the extracted candidates on the display unit, and accept selection input of the other display target quality control data from the candidates displayed on the display unit.

(9) It is preferable that the processing unit sorts the extracted candidates under a predetermined sorting condition and displays the candidates on the display unit.

(10) According to another aspect of the present invention, a plurality of quality control data, which are time series data of quality control values obtained by measuring a quality control sample on a plurality of days by a measurement unit that analyzes components in a sample, are provided. A storage unit for storing, a display unit for displaying the quality control data stored in the storage unit, and a quality control graph in which the quality control values included in the quality control data are plotted are displayed on the display unit. A processing unit, wherein the processing unit includes a plurality of the display target quality control data selected as a display target in the display unit among the plurality of quality control data stored in the storage unit. the quality control graph, the display unit simultaneously displays the, the plurality of the quality control charts, respectively, in chronological range of the plurality of daily, 1 was also measured on the day corresponding to the time-series range All SANYO plurality of quality control values are plotted in time series, wherein the processing unit, a magnitude corresponding to the maximum value of the number of quality control values of said plurality of daily in the plurality of the display target quality control data It is a data processing apparatus which performs the process which allocates a time-sequential range as a time-sequential range for every said several day in several said quality control graph .

  According to the present invention, it is possible to display a plurality of quality control data having different measurement frequencies of quality control samples so as to be easily compared.

It is a block diagram of a sample analyzer. It is a block diagram of a processing apparatus. It is a block diagram of a quality control database. It is a flowchart which shows the display processing procedure of a quality control graph. It is a screen for displaying the quality control data candidates to be superimposed. It is a flowchart which shows a superimposition display process. It is explanatory drawing of the method of plotting. It is a display screen of the chart for every measurement item. It is explanatory drawing which shows the other example of the method of plotting. It is explanatory drawing which shows the other example of the method of plotting.

  Hereinafter, embodiments of a sample analyzer according to the present invention will be described in detail with reference to the accompanying drawings.

[1. overall structure]
FIG. 1 shows a configuration of a blood analyzer 1 which is an example of a sample analyzer of the present invention. The blood analyzer 1 is a blood cell counter that counts blood cells in a blood sample collected from a subject. The blood analyzer 1 includes two measuring units, a first measuring unit 2 and a second measuring unit 3, and front sides of both measuring units 2 and 3. A sample transport device (sampler) 4 disposed on the lower side of FIG. 1 and a processing device (data processing device) 5 electrically connected to both the measurement units 2 and 3 and the sample transport device 4 are provided. ing. The blood analyzer 1 is connected to the host computer 6 via a network (not shown).

  Each of the first measurement unit 2 and the second measurement unit 3 sucks blood as a sample from the sample container 101 transported by the sample transport device, and mixes the reagent with the sucked blood to prepare a measurement sample. Then, blood cells in the measurement sample are detected, and analysis results for a plurality of measurement items (for example, RBC, WBC, HCT, MCV, HCM, etc.) are output.

  The first measurement unit 2 and the second measurement unit 3 are substantially the same type of measurement unit and are disposed adjacent to each other. Specifically, in the present embodiment, the second measurement unit 3 uses the same measurement principle as that of the first measurement unit 2 to measure samples for common measurement items. Furthermore, the second measurement unit 3 also measures measurement items that are not analyzed by the first measurement unit 2.

  The detection results obtained by the first measurement unit 2 and the second measurement unit 3 are transmitted to the processing device 5 as sample measurement data (measurement results). This measurement data is data that is the basis of the final analysis results (red blood cell count, platelet count, hemoglobin content, white blood cell count, etc.) provided to the user.

  As illustrated in FIG. 2, the processing device 5 includes a computer (PC), and includes a processing unit 51 including a CPU, ROM, RAM, and the like, a display unit 52, and an input device 53. The display unit 52 is provided to display analysis results and quality control data obtained by analyzing digital signal data transmitted from the first measurement unit 2 and the second measurement unit 3.

  The processing unit 51 mainly includes a CPU 51a, a ROM 51b, a RAM 51c, a hard disk 51d, a reading device 51e, an input / output interface 51f, a communication interface 51g, and an image output interface 51h. The CPU 51a, ROM 51b, RAM 51c, hard disk 51d, reading device 51e, input / output interface 51f, communication interface 51g, and image output interface 51h are connected by a bus 51i.

  The CPU 51a can execute computer programs stored in the ROM 51b and computer programs loaded in the RAM 51c. Then, the CPU 51a executes an application program 54a as will be described later, whereby the computer functions as the processing device 5 in the present embodiment.

  The hard disk 51d is installed with various computer programs to be executed by the CPU 51a, such as an operating system and application programs.

  A computer program 54a for quality control is installed in the hard disk 51d, and quality management data, which is a measurement / analysis result obtained by measuring a quality control sample by the first measurement unit 2 and the second measurement unit 3, is registered. An accuracy management database 54b is also provided.

  The reading device 51e is configured by a flexible disk drive, a CD-ROM drive, a DVD-ROM drive, or the like, and can read a computer program or data recorded on the portable recording medium 54. The portable recording medium 54 stores application programs 54a and 54b, and the computer can read the application programs 54a and 54b from the portable recording medium 54 and install them on the hard disk 51d.

  Note that the application programs 54a and 54b are not only provided by the portable recording medium 54, but also from the external device communicatively connected to the computer by an electric communication line (whether wired or wireless). It can also be provided through a communication line. For example, the application programs etc. 54a, 54b are stored in the hard disk of a server computer on the Internet, and the computer accesses the server computer to download the application programs etc. 54a, 54b and store them on the hard disk 51d. It is also possible to install.

  In addition, an operating system that provides a graphical user interface environment such as Windows (registered trademark) manufactured and sold by Microsoft Corporation is installed in the hard disk 51d. In the following description, it is assumed that the application program 54a operates on the operating system.

  An input device 53 is connected to the input / output interface 51f. By using the input device 53, the user can input data into the computer and the user can operate the computer.

In the sample analyzer 1, in order to manage the accuracy of the sample analyzer 1, it is possible to measure and analyze a quality control sample in the same manner as a normal blood sample instead of a normal sample. The quality control value (analysis result of the quality control sample) obtained by measuring the quality control sample with the measuring units 2 and 3 is registered in the quality control database 54b.
The accuracy management computer program 54a displays the accuracy management values registered in the accuracy management database 54b on the display unit 52 in time series as an accuracy management graph (QC chart), and performs statistical processing of the accuracy management data.

FIG. 3 shows the quality management database 54b. The quality control database is a relational database composed of three tables: a QC file table, a sample table, and a data table.
The QC file table shown in FIG. 3A includes items of “device ID”, “QC file No.”, “Lot No.”, and “material”.

  “Apparatus ID” is an identifier for identifying each of the measurement units 2 and 3 included in the sample analyzer 1. Here, it is assumed that a device ID “XS-10-1001” is assigned to the first measurement unit 2 and a device ID “XS-10-1002” is assigned to the second measurement unit 3.

  “QC file No.” indicates a file name (number) of quality control data stored in the sample analyzer 1. One QC file is configured as a set of quality control values, which are measurement results measured by a plurality of measurement units 2 and 3 for a specific material of a specific lot number, and a plurality of QC files can be stored.

  “Lot No.” indicates the lot number of the quality control sample, and “Material” indicates the type of the quality control sample. Each quality control sample is uniquely identified by “Lot No.” and “Material”. That is, “Lot No.” and “Material” are identifiers of the quality control sample.

  The sample table shown in FIG. 3B has items of “device ID”, “QC file No.”, “sequence No.”, and “measurement date”. The sample table and QC file table are QC file No. Alternatively, they are associated with the device ID.

  “Sequence No.” is a number given each time the quality control sample is measured, and “Measurement date” indicates the date and time when the quality control sample was measured.

  The data table shown in FIG. 3C has items of “sequence No.”, “item”, and “measurement data”. The data table and sample table have a sequence number. Associated with.

“Item” indicates a measurement item of the quality control sample. Measurement data of a plurality of measurement items can be obtained by one measurement (analysis) on the quality control sample.
“Measurement data” indicates measurement data (accuracy management value) of each measurement item.

  Since the accuracy management database 54b is configured as described above, the QC file No. When the device ID is specified, quality control data that is a set of a plurality of quality control values obtained by measuring a specific quality control sample in the measurement units 2 and 3 specified by the device ID is obtained.

  That is, the quality control data registered in the quality control database 54b is a set of a plurality of measurement data (quality control values) obtained by measuring a specific quality control sample at a specific measurement unit at a plurality of measurement dates and times. Time series data. A plurality of such quality management data can be stored in the quality management database 54b.

  The processing unit 51 performs processing for displaying the quality control values registered in the quality management database 54b on the display unit 52 in time series as a quality management graph (QC chart) based on the quality management computer program 54a.

  FIG. 4 shows a procedure for displaying a plurality (two) of quality control graphs (QC charts) simultaneously. The processing procedure illustrated in FIG. 4 is performed by the processing unit 51 executing the quality control computer program 54a.

  Here, a procedure for superimposing the other quality control graph on one quality control graph will be described. The processing unit 51 receives selection input of the main chart (one quality control graph) displayed on the display unit 52 (step S1). For the selection input, the processing unit 51 displays a list of quality control data (QC file) registered in the quality control database 54b on the display unit 52, and the user uses the input device 53 such as a mouse to display the display unit. This can be done by selecting a list displayed on the screen 52.

  The processing unit 51 causes the display unit 52 to display a quality control graph (main chart) in which a plurality of quality control values included in the selected quality control data are plotted at regular intervals in order of measurement date and time (in time series) (step 52). S2).

  When the processing unit 51 receives an overlay instruction input for overlaying another QC chart (another quality control graph) on the main chart (step S3), the processing unit 51 further compares the QC charts (superposition). A selection input is attached (steps S4 and S5). In step S3, the superimposition instruction is input by the processing unit 51 displaying a button area for superimposition instruction input on the main chart display screen, and the user using the input device 53 such as a mouse. This can be done by selecting the button area.

As a method of comparing (superimposing) QC charts, when comparing a plurality of quality control data (QC charts) measured by the same measuring unit (step S4), a plurality of QC charts measured by a plurality of different measuring units are used. There is a case where the quality control data (QC chart) is compared (step S5).
In order to accept a selection input for comparison (superposition), the processing unit 51 displays an option on the display unit 52 as to which comparison (superposition) method to select when attaching a superposition instruction input. In addition, the user can select an option using an input device 53 such as a mouse.

  Subsequently, the processing unit 51 causes the display unit 52 to display a list of quality control data (QC file) candidates that are the basis of other QC charts (quality control graphs) displayed superimposed on the mench chart.

FIG. 5 shows an example of a screen 10 that displays a list of candidates. FIG. 5 is a screen when “compare a plurality of quality control data measured by a plurality of different measurement units” in step S5 is selected.
The displayed candidates for quality control data are those extracted by the processing unit 51 from a plurality of quality control data registered in the database 54b according to predetermined extraction conditions. The processing unit 51 sorts the extracted candidates according to a predetermined sorting condition and displays them on the screen 10 of the display unit 52.

When “compare a plurality of quality control data measured by the same measurement unit” in step S4 is selected, as the predetermined extraction condition for candidate extraction, for example, AND conditions of the following 1) to 4) Can be.
1) The quality control data of the same measurement part as the main chart 2) The quality control data for the quality control sample registered in the lot 3) The same material as the main chart 4) Except the main chart

Further, when “compare a plurality of quality control data measured by a plurality of different measurement units” in step S5 is selected, the predetermined extraction conditions for candidate extraction include, for example, the following 1) to 3) ) AND condition.
1) The quality control data of the measurement unit different from the main chart 2) The quality control data of the quality control sample registered in the lot 3) The same material as the main chart

  By narrowing down and displaying a large number of quality control data in the database 54b under predetermined extraction conditions, the number of displayed candidates is reduced, and the user can easily select candidates. In addition, since different extraction methods are used depending on the comparison (superposition) method, appropriate candidates are extracted.

The sorting conditions for the plurality of quality control data candidates extracted under the above extraction conditions include, for example, the descending order of the lot registration date as the first sorting condition, the ascending order of the lot number as the second condition, and the QC file No. In ascending order. Note that the first sort condition has the highest priority, and then the sort is performed with priority in the order of the second condition and the third condition.
By sorting the quality control data that is more likely to be superimposed so that it is displayed at the top (higher), the user can easily select candidates.

  The candidate list extracted from the quality management database 54b is displayed on the candidate display unit 12 in the screen 10. In FIG. 5, a plurality of candidates 12a, 12b, 12c, and 12d are displayed. The user can select the candidates 12a, 12b, 12c, and 12d using the input device 53 such as a mouse. Then, when the “OK button” 13 in the screen 10 is clicked, it is determined that the selected candidate has been selected as quality control data to be superimposed on the main chart (step S7).

  When receiving the candidate selection input in step S7, the processing unit 51 performs a process of superimposing the selected quality control data QC chart on the main chart (step S8).

FIG. 6 shows details of the overlay process in step S8.
Here, the quality control data related to superposition (the quality control data to be superposed with the quality control data to be overlaid) is not always the one in which the quality control values are measured at the same time. The number of measurements per day) may also vary.
The overlay processing shown in FIG. 6 is for presenting the QC chart of such quality control data to the user so that it can be easily compared.

  First, the processing unit 51 searches the date with the oldest measurement date in a plurality of quality control data related to superposition as a QC chart, and sets that date as the designated date (step S8-1).

  Then, the processing unit 51 searches for the number m1 of quality control values on the designated date of the first quality control data that is the basis of the main chart (step S8-2). Further, the number n1 of quality control values on the designated date of the second quality control data to be superimposed on the main chart is searched (step S8-3).

  Subsequently, the processing unit 51 sets m1 accuracy management values for the designated date of the first accuracy management data from the initial position on the time axis of the chart (the oldest date) in a predetermined interval in the order of the measurement time. Plot on the chart at (plot interval) (step S8-4). That is, in the first quality control data chart (main chart), m1 quality control values are plotted at equal intervals from the initial position of the chart.

  Similarly, the processing unit 51 calculates the n1 accuracy management values for the designated date of the second accuracy management data from the initial position (the oldest date) on the time axis of the chart in the order of the measurement time. Plot on the chart at a predetermined interval (plot interval) (step S8-4). That is, in the second accuracy management data chart (overlapping chart), n1 accuracy management values are plotted at equal intervals from the initial position of the chart.

  Then, the processing unit 51 checks whether or not there is an accuracy management value for the next month (step S8-5), and if there is an accuracy management value for the next day, sets that date as the designated month (step S8-). 6) Return to step S8-2).

  Then, the processing unit 51 searches again for the number m2 of quality control values on the designated date of the first quality control data (step S8-2), and the quality control value on the designated date of the second quality control data. The number n2 is searched (step S8-3).

  Subsequently, when plotting m2 quality control values for the designated date of the first quality control data, if the m1 ≧ n1, the processing unit 51 starts from the m1st plot position from the initial position of the chart. From the next plot position (m1 + 1) at a predetermined interval, m2 quality control values are plotted at the predetermined interval in the order of the measurement time. On the other hand, if m1 <n1, the processing unit 51 obtains m2 quality control values from the next plot position (n1 + 1) at the predetermined interval from the n1st plot position from the initial position of the chart. Plotting is performed at the predetermined intervals in the order of the measurement time (step S8-4).

  In addition, when plotting n2 quality control values for the specified date of the second quality control data, the processing unit 51 satisfies the predetermined position from the n1th plot position from the initial position of the chart if n1 ≧ m1. From the next plot position (n1 + 1) at intervals of n, n2 quality control values are plotted at the predetermined intervals in the order of their measurement times. On the other hand, if n1 <m1, the processing unit 51 obtains n2 quality control values from the next plot position (m1 + 1) at the predetermined interval from the m1st plot position from the initial position of the chart. Plotting is performed at the predetermined intervals in the order of the measurement time (step S8-5).

  Such processes from step S8-2 to S8-4 are performed until the designated date becomes the latest date in the quality control data.

FIG. 7 shows a part of the quality control graphs G1 and G2 in which a plurality of quality control data is plotted in steps S8-2 to S8-4.
Here, the number of quality control values for which 2011/4/21 is the measurement date is m1 = 2 in the first quality management graph G1, and n1 = 3 in the second quality management graph G2. The number of quality control values whose measurement date is 2011/4/22 on the next day is m2 = 2 in the first quality management graph G1, and n2 = 1 in the second quality management graph G2. Further, the number of accuracy management values whose measurement date is 2011/4/23 is m3 = 1 in the first accuracy graph G1, and n3 = 0 in the second accuracy management graph G2. Furthermore, the number of quality control values whose measurement date is 2011/4/24 is m4 = 0 in the first quality management graph G1, and n4 = 1 in the second quality management graph G2.

  Focusing on the number of quality control values (maximum number of plots) in the quality control graph having the largest number (maximum) of quality control values on each measurement date, 2011/4/21 is n1 = 3, 2011 For / 4/22, m2 = 2, for 2011/4/23, m3 = 1, and for 2011/4/24, n4 = 1.

  Corresponding to the maximum number of plots, the time axis direction range (time series range) plotted on each measurement date is a range of 3 plots in 2011/4/21 and 2 plots in 2011/4/22. The range is one plot for 2011/4/23 and one plot for 2011/4. In addition, the time series range allocated for every measurement day (unit period) may differ.

  Thus, in this embodiment, even if the number of quality control values on each measurement date (unit period) is different among the plurality of quality management graphs G1, G2 (quality control data), each measurement date (unit period). The time series range assigned to is the same for a plurality of quality control graphs G1, G2 (quality control data).

  That is, for example, regarding 2011/4/21, the first time series range assigned to the day is a range of 3 plots, but the number of accuracy management values m1 = 2 in the first accuracy management graph G1, Two quality control values are plotted in the first time series range with left justification (just to the old time side in the time axis direction).

  In addition, even if the measurement times of the accuracy management values are different between the plurality of accuracy management graphs G1 and G2, the accuracy management values of any of the graphs G1 and G2 are present at a predetermined plot interval. Plotted at a predetermined plot position.

And the accuracy management value of 2011/4/22, which is the next day of 2011/4/21, is plotted to the third plot position from the left on 2011/4/21 for the second accuracy management graph G2. Are plotted at the fourth plot position from the left, which is the next plot position.
The first quality control graph G1 is only plotted up to the second plot position from the left in 2011/4/21, but is assigned to 2011/4/21 up to the third plot position from the left. Since it is the first time series range, it is plotted in time series from the fourth plot position from the left as in the second quality control graph G2.
The subsequent dates are similarly plotted, and a line graph (chart) in which each plot position is connected by a line is generated.

Therefore, even if the first accuracy management graph G1 and the second accuracy management graph G2 that can be measured differently for each day (unit period) are displayed on the same screen as shown in FIG. Easy display. That is, on each measurement date, the graph with the smaller accuracy control value skips the plot of the smaller amount than the graph with the higher accuracy management value, so the position of the graph in the time axis direction is the first accuracy. There is no difference between the management graph G1 and the second accuracy management graph G2. Therefore, it is easy to compare the quality control values of each measurement date.
The plurality of quality control graphs G1 and G2 are displayed in different colors, and the two graphs can be easily identified.

  The overlay display process shown in FIG. 6 is performed for each of a plurality of measurement items included in the quality control data. FIG. 8 shows a display example of the screen 20 in which a plurality of quality control graphs are superimposed for each of a plurality of measurement items (RGB, HGB, HCT, MCV, MCH). On this screen 20, the cursor line 21 can be moved on the graph, and the date indicated by the cursor line 21 is displayed near the cursor line 21. Thus, it becomes easy to compare a plurality of measurement items by overlapping the graphs for each of the plurality of measurement items.

  FIG. 9 shows a modification of the plotting method. 7 and 8, in each measurement date, the graph with the smaller number of quality control values has the quality control value plotted at the same plot position as one of the plot positions in the larger graph. Then, the graph with the smaller number of quality control values is plotted at a position different from the plot position in the larger graph within the same time series range. Thus, the plot positions of both graphs need only be located within the same time series range on each measurement date (unit period), and may not be the same position.

  FIG. 10 shows a modified sequence of plotting methods. 7 and 8, in each measurement date, the graph with the smaller number of quality control values is plotted with the quality control values left-justified, but in FIG. 10, it is plotted right-justified.

The present invention is not limited to the above embodiment. For example, in the above embodiment, the time series range for each day is set with one day as the unit period, but the time series range is set for each unit period with one hour, several hours, or several days as the unit period. May be set.
In addition, regarding the selection of quality control data related to the overlay display, either “Compare quality control data of the same measurement unit” or “Compare quality control data of different measurement units” was selected in the above embodiment. , Both may be selected. For example, when two measurement units and two types of QC files are selected, a total of four QC charts can be superimposed and displayed.
Further, the plurality of quality control graphs do not need to be superimposed, and may be simply displayed side by side. Even at that time, the plots of the respective quality control graphs are displayed so as to be within the time series range for each unit period.

  The functions of the processing device (data processing device) 5 are not limited to those provided as part of the functions of the sample analyzer 1, but are computers (host computers 6) connected to the sample analyzer 1 via a network. Etc.) may be included. In this case, the computer functioning as the quality control device may receive the quality control value (quality control data) from the sample analyzer 1 via the network and store it.

DESCRIPTION OF SYMBOLS 1 Blood analyzer 2 1st measurement part 3 2nd measurement part 4 Sample transport apparatus 5 Processing apparatus (accuracy management apparatus)
51 Processing Unit 52 Display Unit 53 Input Device 51d Hard Disk (Storage Unit)
54a Computer program for quality control 54b Quality management database

Claims (10)

A measurement unit for analyzing the components in the sample;
A storage unit that stores a plurality of quality control data that are time-series data of quality control values obtained by measuring a quality control sample in a plurality of days in the measurement unit;
A display unit for displaying the quality control data stored in the storage unit;
A processing unit for displaying a quality control graph in which the quality control value included in the quality control data is plotted on the display unit;
With
The processing unit is configured to display, on the display unit, the quality control graph for a plurality of display target quality control data selected as a display target in the display unit among the plurality of quality control data stored in the storage unit. Display at the same time,
A plurality of said quality control graph, respectively, the time series range of the plurality of daily state, and are not 1 or more quality control values were measured on the day corresponding to the time-series range the is plotted over time ,
The processing unit displays a time series range having a size corresponding to a maximum value of the number of quality control values for the plurality of days in the plurality of display target quality control data, for the plurality of days in the plurality of quality control graphs. A sample analyzer that performs processing to be assigned as a time-series range . A plurality of the measurement units are provided,
The processing unit simultaneously displays, on the display unit, a plurality of quality control graphs for a plurality of quality control data measured by each of the plurality of measurement units among the plurality of quality control data stored in the storage unit. The sample analyzer according to claim 1 to be displayed. As for the time series range, a range required for plotting the quality control values at a predetermined plot interval is secured for the quality control graph having the maximum number of quality control values on the day corresponding to the time series range. The sample analyzer according to claim 1 or 2. For other quality control graph other than the quality control graph the number of quality control value in the date is maximum, within the time-series range, the number of quality control value in the date is the maximum of the quality control graph The sample analyzer according to claim 3, wherein the quality control value is plotted at the same plot position as any one of the plot positions. 5. The sample analyzer according to claim 4, wherein within the time-series range, the accuracy management values of the other accuracy management graphs are plotted in close proximity to the old time side in the graph time axis direction. The sample analyzer according to any one of claims 1 to 5, wherein the processing unit displays a plurality of the quality control graphs in a state of being superimposed on the same screen of the display unit. Each of the plurality of quality control data includes quality control values for a plurality of measurement items,
The sample analyzer according to any one of claims 1 to 6, wherein the processing unit displays a plurality of the quality control graphs superimposed on each measurement item. The processor is
From the plurality of quality control data stored in the storage unit, in accordance with a predetermined extraction condition, extract other display target quality control data candidates that are displayed simultaneously with the one display target quality control data,
The extracted candidates are displayed on the display unit,
The sample analyzer according to any one of claims 1 to 7, wherein a selection input of the other display target quality control data is received from candidates displayed on the display unit. The sample analyzer according to claim 8, wherein the processing unit sorts the extracted candidates under a predetermined sorting condition and displays the candidates on the display unit. A storage unit that stores a plurality of quality control data that are time-series data of quality control values obtained by measuring a quality control sample on a plurality of days in a measurement unit that analyzes a component in a sample;
A display unit for displaying the quality control data stored in the storage unit;
A processing unit for displaying a quality control graph in which the quality control value included in the quality control data is plotted on the display unit;
With
The processing unit displays the plurality of quality control graphs for a plurality of display target quality control data selected as display targets in the display unit among the plurality of quality control data stored in the storage unit. To display at the same time,
A plurality of said quality control graph, respectively, the time series range of the plurality of daily state, and are not 1 or more quality control values were measured on the day corresponding to the time-series range the is plotted over time ,
The processing unit displays a time series range having a size corresponding to a maximum value of the number of quality control values for each of the plurality of days in the plurality of display target quality control data, for each of the plurality of days in the plurality of quality control graphs. A sample analyzer that performs processing to be assigned as a time-series range .